In statistical machine translation, single-word based models have an important deficiency; they do not take contextual information into account for the translation decision. A poss...
The merit of phrase-based statistical machine translation is often reduced by the complexity to construct it. In this paper, we address some issues in phrase-based statistical mach...
Hendra Setiawan, Haizhou Li, Min Zhang, Beng Chin ...
In this paper, we argue that n-gram language models are not sufficient to address word reordering required for Machine Translation. We propose a new distortion model that can be u...
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
This paper presents a novel filtration criteria to restrict the rule extraction for the hierarchical phrase-based translation model, where a bilingual but relaxed well-formed depe...